The article considers the use of deep neural networks for the recognition of
lungs inhomogeneitySufianov, Albert,
Begliarzade, Sema,
Beilerli, Aferin,
Liang, Yanchao,
Ilyasova, Tatiana,
Beylerli, Ozal (2023) Lung cancer is the leading cause of death and morbidity from malignant neoplasms worldwide, and its
Gilyazova, Irina,
Gimalova, Galiya,
Nizamova, Aigul,
Nizamova, Aigul,
Ishbulatova, Ekaterina,
Pavlov, Valentin,
Khusnutdinova, Elza (2024) For several decades, most
lung cancer investigations have focused on the search for mutations
of computed
lung tomography. The recognition is carried out in two stages: segmentation of
lung image
Yang, L.,
Luo, W.,
Zhang, Q,
Hong, S.,
Wang, Y.,
Samorodov, A.V.,
Chattipakorn, N.,
Pavlov, V.N.,
Liang, G. (2021) Background: Acute
lung injury (ALI) is a systemic inflammatory process, which has